About ICTEM

INTERNATIONAL CONFERENCE

1st International Conference on Innovative Computational Techniques in Engineering & Management (ICTEM 2024) is aiming to be a flagship in the data sciences and Computational intelligence field. It provides a scientific forum that brings together researchers, industry practitioners, as well as potential users of data sciences, machine learning, IoT and big data analytics. It covers all data sciences and analytics related areas, including statistical, probabilistic and mathematical methods, machine learning, data and business analytics, data mining and knowledge discovery, infrastructure, storage, retrieval and search, privacy and security, and relevant applications, practices, tools and evaluation.

Data driven scientific discovery is an important emerging paradigm for computing in areas including social, service, Internet of Things, sensor networks, telecommunications, biology, health-care and cloud. Under this paradigm, Data Sciences is the core that drives new research in many areas, from environmental to social. There are many associated scientific challenges, ranging from data capture, creation, storage, search, sharing, modeling, analysis, and visualization. We mention here the integration across heterogeneous, interdependent complex data resources for real-time decision making, streaming data, collaboration, and ultimately value co-creation among the complex aspects to be addressed. Data sciences encompasses the areas of data analytics, machine learning, statistics, optimization and managing big data, and has become essential to glean understanding from large data sets and convert data into actionable intelligence, be it the data available to enterprises, Government or on the Web.

ICTEM 2024 will be held at Moradabad Institute of Technology, Ram Ganga Vihar, Phase – II, Moradabad – 244001 (U.P.) INDIA on 13-14 December 2024. 2024 1st International Conference on Innovative Computational Techniques in Engineering & Management (ICTEM 2024) will be a major conference organized with the objective of bringing together researchers, developers and practitioners from academia and industry working in the area of Data Sciences, big data, machine learning, IoT, Forensic Sciences, e-Governance, ICT, High Performance Computing and Advanced Computing. There are many associated scientific challenges, ranging from data capture, creation, storage, search, sharing, modeling, analysis, and visualization. We mention here the integration across heterogeneous, interdependent complex data resources for real-time decision making, streaming data, collaboration, and ultimately value co-creation among the complex aspects to be addressed. Data sciences encompasses the areas of data analytics, machine learning, statistics, optimization and managing big data, and has become essential to glean understanding from large data sets and convert data into actionable intelligence, be it the data available to enterprises, Government or on the Web. Original, previously unpublished and high-quality research papers addressing research challenges and advances in Advanced Computing would be appreciated.